Performance evaluation of peer-assisted MPEG-DASH streaming in multi-user mobile scenarios
Performance evaluation of peer-assisted MPEG-DASH streaming with multiple concurrent users in mobile scenarios.
Román Belda
Assistant Professor
Román Belda received his degree in Computer Science in 2004 and an M.S. in Telematics in 2013 from the Universitat Politècnica de València (UPV), Spain. He obtained his Ph.D. in Telecommunications from UPV in 2021. He is currently an Associate Professor at the Universitat Politècnica de València and a member of the Institute of Telecommunications and Multimedia Applications (iTEAM). His research interests include adaptive video streaming (MPEG-DASH), low-latency and peer-assisted video delivery, Quality of Experience (QoE), mobile applications and multimedia transmission protocols.
From Radio Telemetry to Perceptual Quality: A QoE-as-a-Service Framework for Multi-User OTT Streaming in 5G Vehicular Environments
A QoE-as-a-Service framework for 5G vehicular environments that maps radio telemetry to perceptual video quality metrics, enabling network-side QoE monitoring for OTT streaming …
SwarmLayer: A Hybrid P2P Assisted Solution for MPEG-DASH Streaming
SwarmLayer is a hybrid P2P layer for MPEG-DASH that uses WebRTC and Service Workers to offload up to 96% of server traffic with no changes to existing players.
A DASH server-side delay-based representation switching solution to improve the quality of experience for low-latency live video streaming
SSRS for LL-DASH live streaming uses server-measured client request delays to adapt video quality, achieving good quality-latency trade-offs without player modifications.
Performance Evaluation and Testbed for Delivering SRT Live Content using DASH Low Latency Streaming Systems
A testbed for evaluating LL-DASH live streaming from SRT/RTSP sources, achieving end-to-end delays under 2 seconds using FFmpeg and open-source players.
Uso de contenedores Docker en el entorno educativo
Using Docker containers in university lab courses to provide reproducible, cross-platform environments that simplify deployment of complex networking scenarios for students.
Mejora del streaming de vídeo en DASH con codificación de bitrate variable mediante el algoritmo Look Ahead y mecanismos de coordinación para la reproducción, y propuesta de nuevas métricas para la evaluación de la QoE
PhD thesis proposing the Look Ahead ABR algorithm for DASH, SAND-based multi-user coordination mechanisms, and VMAF-based QoE models for adaptive video streaming.
New objective QoE models for evaluating ABR algorithms in DASH
Three new objective QoE models for DASH based on PSNR and VMAF, validated subjectively and via the Look Ahead ABR algorithm, outperforming existing models.
Look ahead to improve QoE in DASH streaming
The Look Ahead ABR algorithm for DASH streaming leverages variable bitrate information from constant-quality encodings to minimize stalls while maintaining high QoE, outperforming …
Proxy-based near real-time TV content transmission in mobility over 4G with MPEG-DASH transcoding on the cloud
A proxy and cloud transcoding architecture that delivers near real-time broadcast TV to mobile devices over 4G using MPEG-DASH adaptive streaming.
